Probabilistic risk analysis for ship-ship collision: State-of-the-art
Maritime transportation system has made a significant contribution to the development of the
world economy. However, with the growth of quantity, scale, and speed of ships, maritime …
world economy. However, with the growth of quantity, scale, and speed of ships, maritime …
Imprecise probabilities in engineering analyses
Probabilistic uncertainty and imprecision in structural parameters and in environmental
conditions and loads are challenging phenomena in engineering analyses. They require …
conditions and loads are challenging phenomena in engineering analyses. They require …
[HTML][HTML] Thirty years of credal networks: Specification, algorithms and complexity
Credal networks generalize Bayesian networks to allow for imprecision in probability values.
This paper reviews the main results on credal networks under strong independence, as …
This paper reviews the main results on credal networks under strong independence, as …
Addressing the epistemic uncertainty in maritime accidents modelling using Bayesian network with interval probabilities
Bayesian Network (BN) is often criticized for demanding a large number of
crisp/exact/precise conditional probability numbers which, due to the lack of statistics, have …
crisp/exact/precise conditional probability numbers which, due to the lack of statistics, have …
Putting humans in the loop: Social computing for Water Resources Management
P Fraternali, A Castelletti, R Soncini-Sessa… - … Modelling & Software, 2012 - Elsevier
The advent of online services, social networks, crowdsourcing, and serious Web games has
promoted the emergence of a novel computation paradigm, where complex tasks are solved …
promoted the emergence of a novel computation paradigm, where complex tasks are solved …
[HTML][HTML] Efficient computation of counterfactual bounds
We assume to be given structural equations over discrete variables inducing a directed
acyclic graph, namely, a structural causal model, together with data about its internal nodes …
acyclic graph, namely, a structural causal model, together with data about its internal nodes …
[HTML][HTML] Robust classification of multivariate time series by imprecise hidden Markov models
A novel technique to classify time series with imprecise hidden Markov models is presented.
The learning of these models is achieved by coupling the EM algorithm with the imprecise …
The learning of these models is achieved by coupling the EM algorithm with the imprecise …
Tackling uncertainty in security assessment of critical infrastructures: Dempster-Shafer Theory vs. Credal Sets Theory
Securing critical infrastructures is a complex task. Required information is usually scarce or
inexistent, and experts' judgments may be inaccurate and biased. In this paper, two …
inexistent, and experts' judgments may be inaccurate and biased. In this paper, two …
[HTML][HTML] Approximate credal network updating by linear programming with applications to decision making
A Antonucci, CP de Campos, D Huber… - International Journal of …, 2015 - Elsevier
Credal nets are probabilistic graphical models which extend Bayesian nets to cope with sets
of distributions. An algorithm for approximate credal network updating is presented. The …
of distributions. An algorithm for approximate credal network updating is presented. The …
Bayesian networks with imprecise probabilities: Theory and application to classification
Bayesian networks are powerful probabilistic graphical models for modelling uncertainty.
Among others, classification represents an important application: some of the most used …
Among others, classification represents an important application: some of the most used …